The prediction of the valuation of the "quality" of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the "actual" financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify "quality" characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.

A comprehensive guide to gaining a 360-degree overview of the VBA programming language and learning how to build your own programs for automating routine tasks Key Features Extend the capabilities of Excel and other Office applications with the help of Microsoft VBA Take your Excel programming skills to the next level by creating custom applications with dialogue boxes and the range object Automate repetitive and monotonous office work with VBA Excel programming Book DescriptionVisual Basic for Applications (VBA) is a programming language developed by Microsoft to automate tasks in MS Office applications. This book will help you to focus on the essential aspects of your role by automating mundane tasks in Excel and other Office applications. With comprehensive coverage of VBA delivered in the form of practice problems and bite-sized recipes, this book will help you to hit the ground running. Unlike most books that assume prior programming experience, this book starts with the fundamentals and gradually progresses to solving bigger problems. You'll start by becoming familiar with VBA so that you can start recording macros right away. With this foundation in place, you'll advance to using the full capabilities of the language as you apply loops, functions, and custom dialog boxes to design your own automation programs. You'll also get to grips with embedded macros and other advanced tools to enhance productivity and explore topics relating to app performance and security. Throughout this VBA book, you'll cover multiple practice projects in Excel, Word, and PowerPoint while exploring tips and best practices to hone your skills. By the end of this book, you'll have developed the skills you need to use VBA to create your own programs that control MS Office applications. What you will learn Understand the VBA programming language's role in the context of the MS Office suite Discover various aspects of VBA programming such as its terminology, syntax, procedures, functions, and forms Investigate the elements, features, and characteristics of the VBA Editor to write and edit custom scripts Automate Excel sheets with the help of ranges Explore error handling and debugging techniques to catch bugs in your programs Create and use custom dialog boxes to collect data from users Customize and extend Office apps such as Excel, PowerPoint, and Word Who this book is forThis book is for experienced Excel users, business analysts, finance professionals, and business users looking to boost their productivity by learning VBA programming to automate repetitive, tedious, or complex tasks. No prior programming experience is required to get started with this book.